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Daniel Dulaney
I have made visualizations viewed by hundreds of thousands of people1, sped up query times for 25 terabytes of data by an average of 4,800 times2, and built packages for R3 that let you do magic4.
Education
M.S., Statistics
NC State
N/A
2022 - 2019
- Coursework includes: Bayesian models, machine learning, technical communication / consulting
B.S., Statistics (minor Philosophy, Economics)
NC State
Raleigh, NC
2019 - 2016
- Coursework includes: Statistical theory, R/Python/SAS, regression/linear models, experimental design
- Completed data science projects with baseball team, stats professors, deep learning reading group, and a few other groups
B.S., Statistics (minor Philosophy, Economics)
UNC-Greensboro
Greensboro, NC
2016 - 2014
- Member of baseball team
- Member of Honors College
Industry Experience
Fellow, Baseball Informatics
Pittsburgh Pirates
Pittsburgh, PA
2021 - 2020
- Draft-focused: Data processes, research/modelling, player discovery/evaluation
- Tools
- Sat in on ’20/’21 final draft meetings, ’21 trade deadline meetings
Intern, Baseball Informatics
Pittsburgh Pirates
Pittsburgh, PA
2020 - 2019
- Data/research support for various groups within analytics (draft, advance/major league, international, athlete)
Research Experience
Data Science Researcher
Data Science Lab
Johns Hopkins University
2018 - 2017
- Building R Shiny applications in the contexts of wearables and statistics education.
- Work primarily done in R Shiny and Javascript (node and d3js).